MeMudo
Real estate listing aggregator for Santa Fe. Merges multiple data sources, extracts structured data with LLM vision, shows results on a filterable map.
Aggregates rental and sale listings from multiple sources onto a filterable map. The MVP collected data from Instagram in a semi-manual process. The system now supports pluggable JSON repos that anyone can host and register.
How It Works
- Sources: Pluggable repo system. Each source is a self-describing JSON file hosted at a public URL. Users can also add custom repos at runtime via the viewer.
- Processor: Async Python CLI extracts structured data (type, price, address, rooms, amenities) using Qwen 3.5-plus vision model. Caption-first strategy skips image analysis when the post caption has enough context.
- Merge: Build-time pipeline fetches all registered repos, namespaces IDs, and merges with review/dismissal persistence. Listings go stale after 30 days and are pruned after 60.
- Viewer: Static site with an interactive map, spatial filtering by zone, listing cards with swipeable image galleries and contact links.
Technologies
- Processor: Python, asyncio, OpenAI SDK (DashScope), Nominatim, Pydantic
- Viewer: Astro 6, Svelte 5, Tailwind v4, MapLibre GL JS
- Infrastructure: Cloudflare Pages, Cloudflare R2, $0/month